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The risk categories AIUC-1 evals test an AI agent against, with the incidents and research behind each. This taxonomy covers the risks typically tested under AIUC-1. Each certified agent faces thousands of evals, focused on the subset of risks most relevant to its product and users. As new incidents and research surface new threats, the taxonomy is updated so testing stays grounded in real-world failures.

Data & privacy

IP infringement

Personal data leakage

Business data leakage

Reliability

Hallucination (incorrect generation)

Hallucination (incorrect information)

Incorrect tool call

Security

Unauthorized actions

Insecure outputs

Insecure action

Safety

Physical harm

Emotional harm

Inappropriate content

High-risk domain engagement

Company defined risk

Accountability

Transparency